The graph represents a network of 5,543 Twitter users whose tweets in the requested range contained "actonclimate", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 13 October 2021 at 03:11 UTC.
The requested start date was Wednesday, 13 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 19-hour, 9-minute period from Friday, 08 October 2021 at 15:10 UTC to Tuesday, 12 October 2021 at 10:20 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 5543
Unique Edges : 4017
Edges With Duplicates : 15772
Total Edges : 19789
Number of Edge Types : 5
Replies to : 446
Mentions : 3684
MentionsInRetweet : 9123
Retweet : 6015
Tweet : 521
Self-Loops : 660
Reciprocated Vertex Pair Ratio : 0.00480512546716498
Reciprocated Edge Ratio : 0.00956429330499469
Connected Components : 148
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 5118
Maximum Edges in a Connected Component : 19193
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.568525
Graph Density : 0.00030632202433219
Modularity : 0.396153
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,543 Twitter users whose tweets in the requested range contained "actonclimate", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 13 October 2021 at 03:11 UTC.
The requested start date was Wednesday, 13 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 19-hour, 9-minute period from Friday, 08 October 2021 at 15:10 UTC to Tuesday, 12 October 2021 at 10:20 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : actonclimate
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1254] single,day [1243] stop,delays [1241] time,stop [1240] oman,years [1240] years,worth [1240] worth,rain [1240] rain,come [1240] come,down [1240] down,single [1240] day,#climateemergency Top Word Pairs in Tweet in G1:
[1095] single,day [1088] stop,delays [1086] time,stop [1085] oman,years [1085] years,worth [1085] worth,rain [1085] rain,come [1085] come,down [1085] down,single [1085] day,#climateemergency Top Word Pairs in Tweet in G2:
[472] budget,reconciliation [431] #actonclimate,stop [430] stop,infringing [430] treaty,rights [430] rights,destructive [427] destructive,pipelines [405] pipelines,#stopline3 [388] infringing,treaty [342] clean,energy [320] climate,solutions Top Word Pairs in Tweet in G3:
[199] senatedems,senategop [117] sen_joemanchin,senatorsinema [114] budget,reconciliation [81] counting,budget [80] reconciliation,last [80] last,best [80] best,hope [80] hope,substantive [80] alyssa_milano,senatedems [74] senategop,counting Top Word Pairs in Tweet in G4:
[66] world's,richest [66] richest,cause [66] cause,double [66] double,co2 [66] co2,emissions [66] emissions,poorest [66] poorest,50 [66] 50,radical [66] radical,idea [66] idea,maybe Top Word Pairs in Tweet in G5:
[21] climate,change [20] 000,000 [17] climate,action [15] #climatecrisis,#climateemergency [15] #actonclimate,#climatecrisis [14] net,zero [14] #actonclimate,#climateemergency [13] #climateemergency,#globalwarming [13] comes,thousands [12] #climateemergency,#actonclimate Top Word Pairs in Tweet in G6:
[152] old,growth [151] growth,forests [91] iconic,old [89] #truedough,#savetheowlhouse [84] british,columbia [84] #oldgrowth,#tealjones [83] #tealjones,#truedough [80] #jokesaside,#oldgrowth [78] #startreklowerdecks,#jokesaside [74] #savefairycreek,#startreklowerdecks Top Word Pairs in Tweet in G7:
[105] oman,years [105] years,worth [105] worth,rain [105] rain,come [105] come,down [105] down,single [105] single,day [105] day,#climateemergency [105] #climateemergency,time [105] time,stop Top Word Pairs in Tweet in G8:
[12] great,see [11] #orclimateaction,great [11] reasons,grandchildren [11] grandchildren,trouble [11] trouble,unwilling [11] unwilling,sacrifice [11] sacrifice,lifestyle [11] lifestyle,misinformation [10] mcat_olcv,#orclimateaction [10] climate,change Top Word Pairs in Tweet in G9:
[34] more,76 [34] 76,million [34] million,people [34] people,affected [34] affected,severe [34] severe,flooding [34] flooding,china [34] china,northern [34] northern,shanxi [34] shanxi,province Top Word Pairs in Tweet in G10:
[5] #climatecrisis,#climateemergency [5] amazingchevvolt,oldgraham1 [5] oldgraham1,mwt2008 [5] mwt2008,mslonesomeblues [5] mslonesomeblues,fss_tech [5] fss_tech,profraywills [5] profraywills,kashthefuturist [5] kashthefuturist,paula_piccard [4] late,stop [4] stop,temperatures Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: